Mar 28 2026 APP 2.0.0-beta40 will be released in 7 days.
It did take a long time to have the work finished on this and it will have a major performance boost of 30-50% over 2.0.0-beta39 from calibration to integration. We extensively optimized many critical parts of APP. All has been tested to guarantee correct optimizations. Drizzle and image resampling is much faster for instance, those modules have been completely rewritten. Much less memory usage. LNC 2.0 will be released which works much better and faster than LNC in it's current state. And more, all will be added to the release notes in the coming weeks...
Update on the 2.0.0 release & the full manual
We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.
Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.
Seems like light pollution, is that a possibility in your location? Or, the flats are not correctly applied, can you see (in the list of files below) if MF is added to the filename after calibration?
@vincent-mod
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I'm in a bortle 9 location so light pollution certainly exists.
However, I usually manage to eliminate it.
MF was applied to the subs.
what do you mean by "flats are not correctly applied"?
I was wondering whether a white balanced light source is needed for the flats?
ThanksÂ
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I used a narrowband filter
Flats may not be correctly applied, not saying they are, could just be a cause of what you're seeing. However, when it indeed is light pollution, you can use the light pollution tool that should be able to take care of that nicely. Also, when using a narrowband filter, you need to set APP to extract that data properly, in tab 0 you can select to "extract Ha" for instance. This will produce an Ha, mono image, straight from the OSC data.
When you say halo, are you taking about the ring around the bright star, or are you taking about the redness in the image that seems to appear beyond the nebula, around it? If you are referring to that redness as the halo, I would say you need to do a better job cropping your image first. You can see stacking artifacts around the edges. Crop your image first, then run the LP removal and you will see much better results.
